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Offered through the Initiative for Bicycle and Pedestrian Innovation at TREC, this four-credit PSU study abroad program (CE 495 / 595) presents an introduction to sustainable transportation and land use applications in the Dutch context.
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Before you apply for the program, check out some frequently asked questions or watch the recent Jan 11, 2019 information session:
PROGRAM OVERVIEW (June 23 - July 6, 2019)
The course creates an immersive experience to explore the Dutch approach to cycling, transit, innovative mobility and land use. The curriculum...
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Summaries:
Identification and Characterization of PM2.5 and VOC Hot Spots on Arterial Corridor by Integrating Probe Vehicle, Traffic, and Land Use Data: The purpose of this study is to explore the use of integrated probe vehicle, traffic and land use data to identify and characterize fine particulate matter (PM2.5) and volatile organic compound (VOC) hot spot locations on urban arterial corridors. An emission hot spot is defined as a fixed location along a corridor in which the mean pollutant concentrations are consistently above the 85th percentile of pollutant concentrations when considering all other locations along the corridor during the same time period. In order to collect data for this study, an electric vehicle was equipped with instruments designed to measure PM2.5 and VOC concentrations. Second-by-second measurements were performed for each pollutant from both the right and left sides of the vehicle. Detailed meteorological, traffic and land use data is also available for this research. The results of a statistical analysis are used to better understand which...
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Abstract: Existing regional travel forecasting systems are not typically set up to forecast usage of bicycle infrastructure and are insensitive to bicyclists' route preferences in general. We collected revealed preference, GPS data on 162 bicyclists over the course of several days and coded the resulting trips to a highly detailed bicycle network model. We then use these data to estimate bicyclist route choice models. As part of this research, we developed a sophisticated choice set generation algorithm based on multiple permutations of labeled path attributes, which seems to out-perform comparable implementations of other route choice set generation algorithms. The model was formulated as a Path-Size Logit model to account for overlapping route alternatives. The estimation results show compelling intuitive elasticities for route choice attributes, including the effects of distance and delay; avoiding high-volumes of vehicular traffic, stops and turns, and elevation gain; and preferences for certain bike infrastructure types, particularly at bridge crossings and off-street paths. Estimation results also support segmentation by commute versus non-commute trip types, but are less clear when it comes to gender. The final model will be implemented as part of the regional travel forecasting system for Portland, Oregon, U.S.A.
Strong and Fearless | Enthused and Confident | Interested but Concerned | No Way No How
PRESENTATION ARCHIVE
Originally developed by Roger Geller for the city of Portland, the “Four Types of Cyclists” typology (Strong and Fearless; Enthused and Confident; Interested but Concerned; No Way No How) has been adopted widely to help guide efforts to increase bicycling for transportation. This webinar will present findings from a new, national survey conducted in collaboration with the National Association of Realtors. In Portland, 60 % of the population falls into the "interested but concerned" category, and they represent a promising segment of the population in terms of increasing the bicycle mode share. In this webinar, we will address the following questions:
- Does the Four Types of Cyclists typology apply nationally?
- What are the characteristics of each type of cyclist?
- How does the existing environment, including bicycle infrastructure, affect the share of people in each category/type?
- What programs or infrastructure might increase bicycling for transportation among the...
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Summary: In this seminar, Tara Weidner will discuss changes in the works to the State Analysis Procedures Manual (APM) to include three graduated levels of bike planning methods for use in Oregon communities, based on community size, data needs, and planning stage. These include the Bike Level of Traffic Stress (BLTS), a sketch tool used to assess bike network connectivity, the data-heavy Highway Capacity Manual Multi-modal Level of Service (MMLOS) procedures, and a simplified MMLOS developed by the same researchers.
Bio: Tara Weidner is an Integrated Transportation Analysis Engineer in ODOT’s Transportation Planning Analysis Unit (TPAU). She has over 20 years of experience in modeling and analysis of multi-modal transportation systems. Her work focuses on arming Oregon’s communities with tools to plan for the future, including being the lead on ODOT’s GreenSTEP Greenhouse Gas model and coordinating other multi-modal transportation and land use tools and analysis. She joined TPAU about a year ago after working as a Senior Planner for Parsons Brinkerhoff (PB), where she was the consultant lead for the ODOT StateWide Integrated Model (SWIM) and worked with the FHWA on Mega-Regions modeling tools and managed a webinar series on "Climate Change Planning for MPOs.
PRESENTATION ARCHIVE
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OVERVIEW
The "Fast Track" project at the University of Oregon focuses on a mode of transportation that is sometimes left out of vehicle-to-infrastructure, or V2I, conversations: Bicycling. NITC researchers developed an app based on a new technology being integrated into modern cars: GLOSA, or Green Light Optimized Speed Advisory. GLOSA allows motorists to set their speed along corridors to maximize their chances of catching a "green wave" so they won't have to stop at red lights.
This project demonstrates how GLOSA can be used by bicyclists in the same way it is used by motorists, with a test site on a busy car and bike corridor feeding the University of Oregon campus: 13th Avenue in Eugene, Oregon. Researchers developed a smartphone app that tells a cyclist whether they should adjust their speed to stay in tune with the signals and catch the next green. The project demonstrates how university researchers, city traffic engineers, and signal-controller manufacturers can come together to help bicyclists be active participants in a smart transportation system.
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Summary: Urban bicyclists’ uptake of traffic-related air pollution is still not well quantified, due to a lack of direct measurements of uptake and a lack of analysis of the variation in uptake. This paper describes and establishes the feasibility of a novel method for measuring bicyclists’ uptake of volatile organic compounds (VOC) by sampling breath concentrations. Early results from the data set demonstrate the ability of the proposed method to generate findings for transportation analysis, with statistically significant exposure and uptake differences from bicycling on arterial versus bikeway facilities for several traffic-related VOC. These results provide the first empirical evidence that the usage of bikeways (or greenways) by bicyclists within an urban environment can significantly reduce uptake of dangerous traffic-related gas pollutants. Dynamic concentration and respiration data reveal unfavorable correlations from a health impacts perspective, where bicyclists’ respiration and travel time are greater at higher-concentration locations on already high-concentration roadways (arterials).
Bio: Alex Bigazzi is a Ph.D. candidate in Transportation Engineering at PSU, where he is also teaching a class on transportation emissions modeling. His dissertation investigates how urban bicyclists...